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~/backtests/na-gj-l-002 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Apus

code: NA-FX-012 GBPJPY_Oanda H1 2006-01-01 → 2026-06-19
net $12,825 trades 579 win 68.22%
Verified · OTS40c7f8b6ff48…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $12,825
gross profit$47,702
gross loss$34,877
win_rate
68.22%WIN
███████░░░
Win rate
395W / 184L
profit_factor
1.37PF
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Profit factor
gross P / gross L
cagr
4.21%CAGR
█░░░░░░░░░
CAGR
annualized
max_drawdown
-9.93%MAX DD
█░░░░░░░░░
Max drawdown
$1,190
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 579 points; starts at $10,117.45, ends at $22,825.13; observed range $10,117.45–$23,016.53.

x: time · y: equity (USD)● rendered by na-backtest-charts

$ plot --drawdown

underwater equity (peak-to-trough), in account currency — risk per trade is a fixed dollar amount, so a percent axis would shrink every year as the balance grew

x: time · y: drawdown (USD)● rendered by na-backtest-charts
trade_breakdown --analyzepartial

$ trades --breakdown

win/loss split, averages, and streaks

win_loss_split
68.22%win
Wins395
Losses184
Total579
win_vs_loss_size
Avg win$120.76
Avg loss$189.55
Largest win$155.07
Largest loss-$201.52
key_ratios
Profit factor1.37
Win/Loss ratio2.15
Payout ratio0.64
Expectancy$22.15
Avg trade$22.15
Bars in trade44.76
streaks
Max consec wins10
Max consec losses3
Avg consec wins2.88
Avg consec losses1.34
Long vs short breakdown and per-trade distributions are not in the ingested dataset yet.
full_statistics --allok

$ stats --full

complete metric set, grouped by category

$12,825
Net profit
$47,702
Gross profit
$34,877
Gross loss
4.21%
CAGR
6.11
AHPR
$641
Yearly avg profit
$52
Monthly avg profit
$1.72
Daily avg profit
6.41%
Yearly avg return
16.87%
Exposure
579
Trades
$22.15
Avg trade
run.configok

$ cat run.config

parameters used for this run

instrumentGBPJPY_Oanda
timeframeH1
period start2006-01-01
period end2026-06-19
profit in pips7060.6 ticks
strategyview →
Trading financial instruments carries a high level of risk and may not be suitable for all investors. Past performance — including backtested and simulated results — is not indicative of future results. NeuronAlgo provides research and tooling, not financial advice.
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Generated from stored backtest metrics · NeuronAlgo research desk

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